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dc.contributor.authorMintoo, Mubashir
dc.contributor.authorChakravarty, Amritangshu
dc.contributor.authorTilvawala, Ronak
dc.date.accessioned2021-12-06T21:54:04Z
dc.date.available2021-12-06T21:54:04Z
dc.date.issued2021-08-03
dc.identifier.citationMintoo, M.; Chakravarty, A.; Tilvawala, R. N-Terminomics Strategies for Protease Substrates Profiling. Molecules 2021, 26, 4699. https://doi.org/10.3390/molecules26154699en_US
dc.identifier.urihttp://hdl.handle.net/1808/32260
dc.description.abstractProteases play a central role in various biochemical pathways catalyzing and regulating key biological events. Proteases catalyze an irreversible post-translational modification called proteolysis by hydrolyzing peptide bonds in proteins. Given the destructive potential of proteolysis, protease activity is tightly regulated. Dysregulation of protease activity has been reported in numerous disease conditions, including cancers, neurodegenerative diseases, inflammatory conditions, cardiovascular diseases, and viral infections. The proteolytic profile of a cell, tissue, or organ is governed by protease activation, activity, and substrate specificity. Thus, identifying protease substrates and proteolytic events under physiological conditions can provide crucial information about how the change in protease regulation can alter the cellular proteolytic landscape. In recent years, mass spectrometry-based techniques called N-terminomics have become instrumental in identifying protease substrates from complex biological mixtures. N-terminomics employs the labeling and enrichment of native and neo-N-termini peptides, generated upon proteolysis followed by mass spectrometry analysis allowing protease substrate profiling directly from biological samples. In this review, we provide a brief overview of N-terminomics techniques, focusing on their strengths, weaknesses, limitations, and providing specific examples where they were successfully employed to identify protease substrates in vivo and under physiological conditions. In addition, we explore the current trends in the protease field and the potential for future developments.en_US
dc.publisherMDPIen_US
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.subjectProtease substratesen_US
dc.subjectN-terminomicsen_US
dc.subjectCOFRADICen_US
dc.subjectTAILSen_US
dc.subjectSubtiligaseen_US
dc.subjectCHOPSen_US
dc.titleN-Terminomics Strategies for Protease Substrates Profilingen_US
dc.typeArticleen_US
kusw.kuauthorMintoo, Mubashir
kusw.kuauthorChakravarty, Amritangshu
kusw.kuauthorTilvawala, Ronak
kusw.kudepartmentMolecular Biosciencesen_US
dc.identifier.doi10.3390/molecules26154699en_US
dc.identifier.orcidhttps://orcid.org/ 0000-0002-5821-1172en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.identifier.pmidPMC8348681en_US
dc.rights.accessrightsopenAccessen_US


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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.